{"title":"临床文本的时间注释","authors":"D. Mowery, H. Harkema, W. Chapman","doi":"10.3115/1572306.1572332","DOIUrl":null,"url":null,"abstract":"We developed a temporal annotation schema that provides a structured method to capture contextual and temporal features of clinical conditions found in clinical reports. In this poster we describe the elements of the annotation schema and provide results of an initial annotation study on a document set comprising six different types of clinical reports.","PeriodicalId":200974,"journal":{"name":"Workshop on Biomedical Natural Language Processing","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":"{\"title\":\"Temporal Annotation of Clinical Text\",\"authors\":\"D. Mowery, H. Harkema, W. Chapman\",\"doi\":\"10.3115/1572306.1572332\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We developed a temporal annotation schema that provides a structured method to capture contextual and temporal features of clinical conditions found in clinical reports. In this poster we describe the elements of the annotation schema and provide results of an initial annotation study on a document set comprising six different types of clinical reports.\",\"PeriodicalId\":200974,\"journal\":{\"name\":\"Workshop on Biomedical Natural Language Processing\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-06-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"13\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Workshop on Biomedical Natural Language Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3115/1572306.1572332\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Workshop on Biomedical Natural Language Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3115/1572306.1572332","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
We developed a temporal annotation schema that provides a structured method to capture contextual and temporal features of clinical conditions found in clinical reports. In this poster we describe the elements of the annotation schema and provide results of an initial annotation study on a document set comprising six different types of clinical reports.
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